Mean Field Game of Mutual Holding with Common Noise

We consider the mean field game of cross--holding introduced in \citeauthor*{DjeteTouzi} \cite{DjeteTouzi} in the context where the equity value dynamics are affected by a common noise. In contrast with \cite{DjeteTouzi}, the problem exhibits the standard paradigm of mean--variance trade off. Our crucial observation is to search for equilibrium solutions of our mean field game among those models which satisfy an appropriate notion of no--arbitrage. Under this condition, it follows that the representative agent optimization step is reduced to a standard portfolio optimization problem with random endowment.

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Publication Details

Journal
SIAM Journal on Financial Mathematics
Published
2025-12-18
DOI
https://doi.org/10.1137/24m1658516
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

Mean Field Game of Mutual Holding with Common Noise

Mao Fabrice Djete, Leila Bassou, Nizar Touzi
SIAM Journal on Financial Mathematics
Stochastic processes and financial applications
article

Mean Field Game of Mutual Holding with Common Noise

Mao Fabrice Djete, Leila Bassou, Nizar Touzi
article en

Abstract

We consider the mean field game of cross--holding introduced in \citeauthor*{DjeteTouzi} \cite{DjeteTouzi} in the context where the equity value dynamics are affected by a common noise. In contrast with \cite{DjeteTouzi}, the problem exhibits the standard paradigm of mean--variance trade off. Our crucial observation is to search for equilibrium solutions of our mean field game among those models which satisfy an appropriate notion of no--arbitrage. Under this condition, it follows that the representative agent optimization step is reduced to a standard portfolio optimization problem with random endowment.

SIAM Journal on Financial MathematicsVol. 16(4)
École Polytechnique (FR), Centre de Mathématiques Appliquées de l'École polytechnique (FR), Brooklyn Technical High School (US), New York University (US)
Openalex Percentile: Top 100%
Stochastic processes and financial applications
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